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SYSTEMS OVERVIEW

SYSTEMS OVERVIEW. Rice University. Signal , image, and information processing Communications , networks, and dynamical systems Theme: large-scale interdisciplinary projects bridging theory to real-world implementation

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SYSTEMS OVERVIEW

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  1. SYSTEMS OVERVIEW

  2. Rice University • Signal, image, and information processing • Communications, networks, and dynamical systems • Theme: large-scale interdisciplinary projects bridging theory to real-world implementation • Excellent placement rate in high profile faculty and industrial lab positions Systems Research

  3. Behnaam Aazhang Network-centric PHY Design • 2004 best paper award for cooperative communications R S D

  4. Athanasios C. Antoulas

  5. Richard Baraniuk • Statistical signal processing • Machine learning • human/machine learning systems(personalized learning) • big data • New sensing architectures • compressive sensing • adaptive sensing • bio-sensing

  6. Edward Knightly • Inventing the Future of Wireless Networking • World’s first residential “Super WiFi” • World’s first multi-user beam-forming WLAN • Design, Analytical Modeling, Deployment, & Measurement • Research Testbedsand Platforms • Operational network in Houston’s East End • Technology For All: 4,000 users in 3 km2 • WARP platform for clean-slate design

  7. Image and video compression • Manifolds and geometry in images • Information theory • Source coding • Complex wavelets Michael T. Orchard

  8. Ashutosh Sabharwal GRAND CHALLENGE Theoretical Foundations of Deployed Wireless Networks METHODOLOGY Information theory for analysis and bounds Implementable protocols Operational prototypes • WARP • Open-source wireless platform • In use at 80+ organizations worldwide • Featured in PC Magazine • Recent research using WARP featured in • MIT Tech Review

  9. Ashok Veeraraghavan Coded Imaging Systems • Computational Imaging and Computer Vision • What does light tell us about the scene? • Can we interpret the scene from images and video? • How can we modify imaging apparatus (optics, illumination, programmable controls) for specific tasks? • What are the fundamental limits of information content in an optical system and how do we design computational imaging systems that reach this limit. 3D Imaging and Displays Computational high speed cameras Computational algorithm Courtesy: Hirsh et. al Light-Field based glasses free 3D imaging and displays

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